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Proceedings Papers

Application of an Advanced Meta Model Selection Algorithm on the Sensitivity Analysis of a Cooled Turbine Blade

Florian Diermeier, Matthias Voigt, Ronald Mailach, Marcus Meyer
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT25A007, June 13–17, 2022
Paper No: GT2022-83123
DOI: https://doi.org/10.1115/GT2022-83123
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Topics: Selection algorithm, Sensitivity analysis, Turbine blades, Fittings, Aerospace industry, Complex systems, Polynomials, Reliability, Support vector machines
Proceedings Papers

Robust Probabilistic Analysis of Deterioration-Induced Aeroelasticity in an Axial Turbine

Lennart Stania, Joerg R. Seume
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT25A006, June 13–17, 2022
Paper No: GT2022-82628
DOI: https://doi.org/10.1115/GT2022-82628
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Topics: Aeroelasticity, Turbines, Blades, Engineering simulation, Sensitivity analysis, Simulation, Vibration, Damping, High cycle fatigue, Airfoils
Proceedings Papers

Digital Service Twin to Assess Engine Deterioration and Remaining Part Life

Markus Klein, Stephan Staudacher, Kimon Abu-Taa, Jonas Schwengler
Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T01A020, June 13–17, 2022
Paper No: GT2022-82113
DOI: https://doi.org/10.1115/GT2022-82113
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Topics: Engines, Databases, Flight, Cycles, Damage, Jet engines, Performance, Resolution (Optics), Sensitivity analysis, Service life (Equipment)
Proceedings Papers

Numerical Simulations of a Lifted Hydrogen Jet Flame Using Flamelet Generated Manifold Approach

Yu Xia, Ishan Verma, Pravin Nakod, Rakesh Yadav, Stefano Orsino, Shaoping Li
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T03A004, June 13–17, 2022
Paper No: GT2022-80733
DOI: https://doi.org/10.1115/GT2022-80733
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Topics: Computer simulation, Flamelet generated manifold, Flames, Hydrogen, Flow (Dynamics), Temperature, Combustion, Engineering simulation, Fuels, Simulation
Proceedings Papers

A Study on Fundamental Combustion Properties of Trimethyl Orthoformate: Experiments and Modeling

John Mbũrũ Ngũgĩ, Sandra Richter, Marina Braun-Unkhoff, Clemens Naumann, Uwe Riedel
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T03A016, June 13–17, 2022
Paper No: GT2022-83029
DOI: https://doi.org/10.1115/GT2022-83029
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Topics: Biofuel, Combustion, Ethers (Class of compounds), Flames, Fuels, Ignition delay, Modeling, Soot, Carbon, High temperature
Proceedings Papers

An Upgraded Chemical Kinetic Mechanism for ISO-Octane Oxidation: Prediction of Polyaromatics Formation in Laminar Counterflow Diffusion Flames

Astrid Ramirez Hernandez, Trupti Kathrotia, Torsten Methling, Marina Braun-Unkhoff, Uwe Riedel
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T03A017, June 13–17, 2022
Paper No: GT2022-83053
DOI: https://doi.org/10.1115/GT2022-83053
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Topics: Diffusion flames, Flames, Oxidation, Ignition delay, Soot, Combustion, Gasoline, Ignition, Jet engines, Jet fuels
Proceedings Papers

Bayesian Calibration of Kinetic Parameters in the CH Chemistry Towards Accurate Prompt-NO Modelling

Antoine Durocher, Gilles Bourque, Jeffrey M. Bergthorson
Proc. ASME. GT2022, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A006, June 13–17, 2022
Paper No: GT2022-78466
DOI: https://doi.org/10.1115/GT2022-78466
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Topics: Calibration, Chemistry, Modeling, Uncertainty, Emissions, Nitrogen oxides, Chain, Combustion chambers, Combustion systems, Design
Proceedings Papers

Sensitivity Analysis of Impeller Blade Parameters to Compressor Performance and Aerodynamic Noise

Cao Yipeng, Ma Zequn, Liu Chen
Proc. ASME. GT2022, Volume 7: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications, V007T18A010, June 13–17, 2022
Paper No: GT2022-81705
DOI: https://doi.org/10.1115/GT2022-81705
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Topics: Aerodynamic noise, Blades, Compressors, Impellers, Sensitivity analysis
Proceedings Papers

Multi-Parameters Sensitivity Analysis of Overall Cooling Effectiveness on Turbine Blade and Numerical Investigation of Internal Cooling Structures on Heat Transfer

Runzhou Liu, Haiwang Li, Ruquan You, Zhi Tao
Proc. ASME. GT2022, Volume 6A: Heat Transfer — Combustors; Film Cooling, V06AT12A026, June 13–17, 2022
Paper No: GT2022-82372
DOI: https://doi.org/10.1115/GT2022-82372
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Topics: Cooling, Heat transfer, Sensitivity analysis, Turbine blades
Proceedings Papers

Fluid-Dynamics of Turbine Rim Seal Structures: A Physical Interpretation Using URANS

Giove De Cosmo, James A. Scobie, Gary D. Lock, Carl M. Sangan, Mauro Carnevale
Proc. ASME. GT2022, Volume 6B: Heat Transfer — General Interest/Additive Manufacturing Impacts on Heat Transfer; Internal Air Systems; Internal Cooling, V06BT14A010, June 13–17, 2022
Paper No: GT2022-82591
DOI: https://doi.org/10.1115/GT2022-82591
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Topics: Fluid dynamics, Turbines, Flow (Dynamics), Blades, Computational fluid dynamics, Cavities, Pressure, Simulation, Annulus, Disks
Proceedings Papers

Uncertainty Analysis of Film Cooling of Fan-Shaped Holes on a Stator Vane Under Realistic Inlet Conditions

Hai Wang, Chun-hua Wang, Xing-dan Zhu, Jian Pu, Hai-ying Lu, Ming-hou Liu, Jian-hua Wang
Proc. ASME. GT2021, Volume 5A: Heat Transfer — Combustors; Film Cooling, V05AT12A012, June 7–11, 2021
Paper No: GT2021-59269
DOI: https://doi.org/10.1115/GT2021-59269
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Topics: Film cooling, Gas turbines, Sensitivity analysis, Stators, Uncertainty analysis, Uncertainty quantification
Proceedings Papers

Towards a Machine Learning Based Design for Fouling of an Axial Turbine Vane

Riccardo Friso, Stefano Oliani, Nicola Casari, Michele Pinelli, Alessio Suman, Francesco Montomoli
Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A027, June 7–11, 2021
Paper No: GT2021-59520
DOI: https://doi.org/10.1115/GT2021-59520
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Topics: Design, Machine learning, Turbines, Design methodology, Computational fluid dynamics, Engines, Sensitivity analysis, Turbomachinery, Aircraft engines, Approximation
Proceedings Papers

Quantifying Model Uncertainties and Sensitivities in Parallel Compressor Models

Jonas Voigt, Keith-Noah Jurke, Julius Schultz, Ulrich Römer, Jens Friedrichs
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A010, June 7–11, 2021
Paper No: GT2021-59373
DOI: https://doi.org/10.1115/GT2021-59373
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Topics: Compressors, Uncertainty, Modeling, Errors, Inflow, Computational fluid dynamics, Engineering simulation, Sampling methods, Sensitivity analysis, Simulation
Proceedings Papers

Multidisciplinary Sensitivity Analysis of the Cooling System of a High-Pressure Turbine Blade in the Pre-Design Phase

Barbara Fiedler, Yannick Muller, Matthias Voigt, Ronald Mailach
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A002, June 7–11, 2021
Paper No: GT2021-58507
DOI: https://doi.org/10.1115/GT2021-58507
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Topics: Cooling, Cooling systems, Design, High pressure (Physics), Sensitivity analysis, Turbine blades
Proceedings Papers

Investigations on the Aerothermal Performance Uncertainty Quantification of the Turbine Blade Squealer Tip

Ming Huang, Zhigang Li, Jun Li, Liming Song
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A008, June 7–11, 2021
Paper No: GT2021-59033
DOI: https://doi.org/10.1115/GT2021-59033
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Topics: Turbine blades, Uncertainty quantification, Design, Uncertainty, Geometry, Heat transfer, Rotors, Clearances (Engineering), Film cooling, Heat flux
Proceedings Papers

Numerical Study of Thermal Performance and NOx Emission for An Ammonia-Fuelled Micro-Combustor With Ring-Shaped Ribs in Lean Combustion

Siliang Ni, Dan Zhao
Proc. ASME. GT2021, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A047, June 7–11, 2021
Paper No: GT2021-59226
DOI: https://doi.org/10.1115/GT2021-59226
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Topics: Combustion, Combustion chambers, Emissions, Nitrogen oxides, Sensitivity analysis
Proceedings Papers

A Numerical Sensitivity Study of Modeling Parameters in the Combustion of a Swirler

Saja H. Al-Rifai, Cheng-Xian Lin, Brian T. Bohan, Marc D. Polanka
Proc. ASME. GT2021, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A055, June 7–11, 2021
Paper No: GT2021-59392
DOI: https://doi.org/10.1115/GT2021-59392
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Topics: Combustion, Modeling, Turbulence, Gravity (Force), Prandtl number, Computation, Computational fluid dynamics, Diffusion (Physics), Disks, Gas turbines
Proceedings Papers

Sensitivity Analysis of an Aircraft Engine Model Under Consideration of Dependent Variables

Julian Salomon, Jan Göing, Sebastian Lück, Matteo Broggi, Jens Friedrichs, Michael Beer
Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T01A005, June 7–11, 2021
Paper No: GT2021-58905
DOI: https://doi.org/10.1115/GT2021-58905
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Topics: Aircraft engines, Sensitivity analysis, Engines, Turbofans
Proceedings Papers

Steam Turbine Overspeed Scenarios: Comparison Between API Energy Method and Dynamic Simulation

Fabrizio Piras, Federico Bucciarelli, Damaso Checcacci, Filippo Ingrasciotta
Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T22A012, June 7–11, 2021
Paper No: GT2021-59257
DOI: https://doi.org/10.1115/GT2021-59257
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Topics: American Petroleum Institute, Simulation, Steam turbines, Design, Stress, Inertia (Mechanics), Rotors, Turbomachinery, Blades, Dynamic models
Proceedings Papers

Short-Term Optimization of a Combined Cycle Power Plant Integrated With an Inlet Air Conditioning Unit

Weimar Mantilla, José García, Rafael Guédez, Alessandro Sorce
Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T06A012, September 21–25, 2020
Paper No: GT2020-15162
DOI: https://doi.org/10.1115/GT2020-15162
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Topics: Air conditioning, Combined cycle power stations, Optimization, Power stations, Stress, Gas turbines, Carbon dioxide, Clearances (Engineering), Combined cycle gas turbines, Dynamics (Mechanics)